The Assessment Method of Supply Chain Risks Based on Vague Sets

Ai Wu Zhao; Hong Jun Guan

doi:10.4028/www.scientific.net/AMM.20-23.665

Paper Titles

Test Method for Crosstalk Faults in VLSI Circuits Based on Multiple-Valued Decision Diagrams
p.641

Test Generation for Glitch Faults of Crosstalk Effects in Digital Circuits Based on Genetic Algorithm with Niche
p.647

An Optimized LCP Table Based Algorithm for Frequent String Mining
p.653

Forward Displacement Analysis of Non-Plane Two Coupled Degree Nine-Link Barranov Truss Based on Hyper-Chaotic Newton Downhill Method
p.659

The Assessment Method of Supply Chain Risks Based on Vague Sets
p.665

The Research of Two-Dimensional Probability Hyper-Chaotic Mapping Newton Iterative Method to Mechanism Synthesis
p.670

The Research of Equal Probability Chaos Sequence Newton Iterative Methods and its Application to Mechanism Synthesis
p.676

Recognizing Polygons under Affine Transformation Based on Principle of Homograph
p.682

A PCA Based Fault Detection and Isolation Method for Train Locating System
p.688

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 20-23The Assessment Method of Supply Chain Risks Based...

The Assessment Method of Supply Chain Risks Based on Vague Sets

Abstract:

In order to evaluate the supply chain risks, proposed the combination method based on Vague Sets and fuzzy risk assessment, and took an application model for example. First introduced the basic knowledge about fuzzy mathematics and Vague sets. Then gave the model of risk assessment and its algorithms, determined the major risk factors using Vague set theory and fuzzy mathematics method, combined the expert evaluation and fuzzy switch, applied the fuzzy analysis method to the static risk assessment of suppliers’ risks and the individual risk status assessment of special event. Finally, described the specific flow by an example.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 20-23)

Pages:

665-669

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.20-23.665

Citation:

Cite this paper

Online since:

January 2010

Authors:

Ai Wu Zhao, Hong Jun Guan

Keywords:

Fuzzy, Risk Assessment, Supply Chain Risk, Vague Set

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Wen-Lung Gau, Daniel J Buehrer: in Vague Sets, IEEE Transactions on Systems, Man, and Cybernetics, 1993, 2(23): pp.610-614.

DOI: 10.1109/21.229476

Google Scholar

[2] Dug Hun Hong, Chang-Hwan Choi: in Multicriteria fuzzy decision-making problems based on vague set theory, Fuzzy Sets and Systems, 2000, 114: pp.103-113.

DOI: 10.1016/s0165-0114(98)00271-1

Google Scholar

[3] ZHANG Yan-ru; CHEN Jing-xian; ZHENG Quan; CHEN Li-qing. Fuzzy Assessment Method Research of Supply Chain Uncertain Risk Based on Predilection. OPERATIONS RESEARCH AND MANAGEMENT SCIENCE. 2008. 2(17). pp: 69-73.

Google Scholar

[4] Paulsson U. Supply chain risk management. In: Brindley C. Supply Chain Risk. Ashgate PublishingLimited, 2004, 79296.

Google Scholar

[5] Jukka H, Iris K, Urho P, et al. . Risk management p rocesses in supp lier network. International Journal of Production Economics, 2004, 90: 47-58.

Google Scholar

[6] Ding Weidong Liu Kai He Guoxian. Study on Risk of Supply Chain. China Safety Science Journal, 2003, 13 (4) : 64-66.

Google Scholar

[7] ATANASSOV K. Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 1986, 20(1): 87-96.

DOI: 10.1016/s0165-0114(86)80034-3

Google Scholar

[8] BUSTINCE H, BURILLO P. Vague sets are intuitionistic fuzzy sets. Fuzzy Sets and Systems, 1996, 79: 403-405.

DOI: 10.1016/0165-0114(95)00154-9

Google Scholar

[9] LI Fan, LU An, CAI Lijing. Multicriteria decision making based on Vague Set. J Huazhong Univ of Sci&Tech, 2001, 29(7): 1-3.

Google Scholar

[10] CHEN SM, TAN JM. Hangling multi-criteria fuzzy decision-making problems based on vague set theory [J]. Fuzzy Sets and Systems, 1994, 67(2): 163-172.

DOI: 10.1016/0165-0114(94)90084-1

Google Scholar

[11] TAN Chunqiao, ZHANG Qiang. Intuitionistic fuzzy setsmethod for fuzzymultiple attribute decisionmaking[J]. Fuzzy Systems andMathematics, 2006, 10: 71-76.

Google Scholar